Abstract: Multi-label medical text classification faces severe class imbalance, where rare pathological conditions appear hundreds of times less frequently than common findings. This imbalance causes ...

Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...

When working on a single screen with multiple editor groups, it’s easy to lose the original context or purpose of each group. File names alone are insufficient to convey debugging or analysis intent.